SELF-COMMITTING IN SPP MARKETS OVERVIEW, IMPACTS, AND - - PowerPoint PPT Presentation

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SELF-COMMITTING IN SPP MARKETS OVERVIEW, IMPACTS, AND - - PowerPoint PPT Presentation

SELF-COMMITTING IN SPP MARKETS OVERVIEW, IMPACTS, AND RECOMMENDATIONS Helping our members work together to keep SPPorg southwest-power-pool SouthwestPowerPool the lights on... today and in the future. OUTLINE Opening remarks


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SouthwestPowerPool SPPorg southwest-power-pool

Helping our members work together to keep the lights on... today and in the future.

SELF-COMMITTING IN SPP MARKETS

OVERVIEW, IMPACTS, AND RECOMMENDATIONS

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OUTLINE

Opening remarks Recommendations Takeaways Conceptual models and empirical research Simulations Q&A

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RECOMMENDATIONS

  • In order to improve price formation and market efficiency, we

recommend SPP and stakeholders work to reduce the incidence of self-commitments.

  • We recommend modifying SPP’s market design by adding
  • ne additional day to the market optimization period.
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TAKEAWAYS: EMPIRICAL RESEARCH

  • The volume of self-committed megawatts has declined over time, but remains nearly

half of the recent megawatt volume.

  • Resources with long lead times and/or high start-up costs tend to be self-committed

instead of market-committed.

  • Units that are self-committed generally have much higher capacity factors than those

that are market-committed. However, these results differ substantially by fuel type.

  • In almost all cases, self-committed generators had lower revenues because of

negative congestion prices; whereas, market-committed generators typically had a more balanced congestion profile.

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TAKEAWAYS: SIMULATIONS

  • When the market made unit commitment decisions, and lead times remained

unchanged, both market-wide production costs and market clearing prices for energy increased.

  • When the market made unit commitment decisions and lead times were modified to

allow the day-ahead market to commit the resources with longer lead times, market- wide production costs were essentially unchanged and market clearing prices for energy increased.

  • System-wide energy prices increased by about $2/MWh (seven percent) on average.
  • Congestion prices changed by about –$1/MWh to $1/MWh on average.
  • To optimize long-lead time resources’ participation in the market, the economic

commitment process would need to solve over a longer market window.

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RIGHTWARD SHIFT IN MARKET SUPPLY CURVE

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THE MARKET FEEDBACK LOOP

Market Prices Investment & retirement Installed capacity

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PERCENTAGE OF MEGAWATTS DISPATCHED BY COMMITMENT STATUS

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PERCENTAGE OF SELF-COMMITTED MEGAWATTS BY FUEL TYPE

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DISPATCH MEGAWATT HOURS BY FUEL TYPE BY COMMITMENT TYPE

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LEAD TIME HOURS BY COMMITMENT STATUS

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COLD START TIME AND COLD START COST BY RESOURCE FUEL TYPE

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CAPACITY FACTORS BY FUEL TYPE BY COMMITMENT TYPE

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PERCENTAGE OF MARGINAL HOURS BY FUEL TYPE, INTRA-HOUR CLASSIFICATION

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GENERATION MEGAWATTS TO LOAD MEGAWATTS BY COMMITMENT TYPE

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CONGESTION DOLLARS BY FUEL TYPE, BY COMMITMENT STATUS

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FINDINGS: SIMULATIONS

  • The key to reducing self-commitment while not increasing costs is

multi-day economic unit commitment.

  • Increasing the optimization window by another 24 hours allows the

market to more effectively optimize resources with long start-up times. This enhancement combined with a reduction in self-commitment, would likely benefit ratepayers by reducing production costs in addition to sending more clear investment signals.

  • If the optimization window is not lengthened, and self-commitment is

eliminated, investment signals would be more clear, but production costs would likely increase.

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SCENARIO 1 VS SCENARIO 2, SYSTEM MARGINAL PRICE AND PRODUCTION COST

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SCENARIO 1 VS SCENARIO 3, SYSTEM MARGINAL PRICE AND PRODUCTION COST

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SCENARIO 1 VS SCENARIO 3, DISPATCH MEGAWATTS BY FUEL TYPE

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SCENARIO 1 AND SCENARIO 3 COMPARISON, DIFFERENCE IN CONGESTION COSTS